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SummaryBackgroundWidely varying mortality rates of critically ill Coronavirus disease 19 (COVID-19) patients in the world highlighted the need for local surveillance of baseline characteristics, treatment strategies and outcome. We compared two periods of the COVID-19 pandemic to identify important differences in characteristics and therapeutic measures and their influence on the outcome of critically ill COVID-19 patients.MethodsThis multicenter prospective register study included all patients with a SARS-CoV‑2 infection confirmed by polymerase chain reaction, who were treated in 1 of the 12 intensive care units (ICU) from 8 hospitals in Tyrol, Austria during 2 defined periods (1 February 2020 until 17 July: first wave and 18 July 2020 until 22 February 2021: second wave) of the COVID-19 pandemic.ResultsOverall, 508 patients were analyzed. The majority (n = 401) presented during the second wave, where the median age was significantly higher (64 years, IQR 54–74 years vs. 72 years, IQR 62–78 years,p p = 0.003), as was the use of vasopressors (50.3% vs. 69.2%,p = 0.001) and renal replacement therapy (12.0% vs. 19.6%,p = 0.061), which resulted in shorter ICU length of stay (10 days, IQR 5–18 days vs. 18 days, IQR 5–31 days,p p = 0.159) and hospital mortality even increased (22.4% vs. 33.4%,p = 0.039) in the second period. Age, frailty and the number of comorbidities were significant predictors of hospital mortality in a multivariate logistic regression analysis of the overall cohort.ConclusionAdvanced treatment strategies and learning effects over time resulted in reduced rates of mechanical ventilation and vasopressor use in the second wave associated with shorter ICU length of stay. Despite these improvements, age appears to be a dominant factor for hospital mortality in critically ill COVID-19 patients.

Summary Introduction On February 25, 2020, the first 2 patients were tested positive for severe acute respiratory syndrome coronavirus‑2 (SARS-CoV-2) in Tyrol, Austria. Rapid measures were taken to ensure adequate intensive care unit (ICU) preparedness for a surge of critically ill coronavirus disease-2019 (COVID-19) patients. Methods This cohort study included all COVID-19 patients admitted to an ICU with confirmed or strongly suspected COVID-19 in the State of Tyrol, Austria. Patients were recorded in the Tyrolean COVID-19 intensive care registry. Date of final follow-up was July 17, 2020. Results A total of 106 critically ill patients with COVID-19 were admitted to 1 of 13 ICUs in Tyrol from March 9 to July 17, 2020. Median age was 64 years (interquartile range, IQR 54–74 years) and the majority of patients were male (76 patients, 71.7%). Median simplified acute physiology score III (SAPS III) was 56 points (IQR 49–64 points). The median duration from appearance of first symptoms to ICU admission was 8 days (IQR 5–11 days). Invasive mechanical ventilation was required in 72 patients (67.9%) and 6 patients (5.6%) required extracorporeal membrane oxygenation treatment. Renal replacement therapy was necessary in 21 patients (19.8%). Median ICU length of stay (LOS) was 18 days (IQR 5–31 days), median hospital LOS was 27 days (IQR 13–49 days). The ICU mortality was 21.7% (23 patients), hospital mortality was 22.6%. There was no significant difference in ICU mortality in patients receiving invasive mechanical ventilation and in those not receiving it (18.1% vs. 29.4%, p = 0.284). As of July 17th, 2020, two patients are still hospitalized, one in an ICU, one on a general ward. Conclusion Critically ill COVID-19 patients in Tyrol showed high severity of disease often requiring complex treatment with increased lengths of ICU and hospital stay. Nevertheless, the mortality was found to be remarkably low, which may be attributed to our adaptive surge response providing sufficient ICU resources.

Background Metabolic alkalosis is a frequently occurring problem during continuous veno-venous hemofiltration (CVVH) with regional citrate anticoagulation (RCA). This study aimed to evaluate the effectiveness of switching from high to low bicarbonate (HCO3−) replacement fluid in alkalotic critically ill patients with acute kidney injury treated by CVVH and RCA. Methods A retrospective-comparative study design was applied. Patients who underwent CVVH with RCA in the ICU between 09/2016 and 11/2017 were evaluated. Data were available from the clinical routine. A switch of the replacement fluid Phoxilium® (30 mmol/l HCO3−) to Biphozyl® (22 mmol/l HCO3−) was performed as blood HCO3− concentration persisted ≥ 26 mmol/l despite adjustments of citrate dose and blood flow. Data were collected from 72 h before the switch of the replacement solutions until 72 h afterwards. Results Of 153 patients treated with CVVH during that period, 45 patients were switched from Phoxilium® to Biphozyl®. Forty-two patients (42 circuits) were available for statistical analysis. After switching the replacement fluid from Phoxilium® to Biphozyl® the serum HCO3− concentration decreased significantly from 27.7 mmol/l (IQR 26.9–28.9) to 25.8 mmol/l (IQR 24.6–27.7) within 24 h (p 0.001). Base excess (BE) decreased significantly from 4.0 mmol/l (IQR 3.1–5.1) to 1.8 mmol/l (IQR 0.2–3.4) within 24 h (p 0.001). HCO3− and BE concentration remained stable from 24 h till the end of observation at 72 h after the replacement fluid change (p = 0.225). pH and PaCO2 did not change significantly after the switch of the replacement fluid until 72 h. Conclusions This retrospective analysis suggests that for patients developing refractory metabolic alkalosis during CVVH with RCA the use of Biphozyl® reduces external HCO3− load and sustainably corrects intracorporeal HCO3− and BE concentrations. Future studies have to prove whether correcting metabolic alkalosis during CVVH with RCA in critically ill patients is of relevance in terms of clinical outcome.

SummaryHLH is a life-threatening disease, which is characterized by a dysregulated immune response with uncontrolled T cell and macrophage activation. The often fulminant course of the disease needs a fast diagnostic work-up to initiate as soon as possible the appropriate therapy. We present herein the case of a 71-year-old patient with rapidly progressive hyperinflammatory syndrome, which post mortem resulted in the diagnosis of EBV-associated HLH. With this case report, we intend to highlight the relevance of the HScore in the diagnosis of HLH, to create a greater awareness for EBV as a trigger of HLH, and to demonstrate the importance of treating EBV-associated HLH as early as possible.

Background Patients with early breast cancer (EBC) achieving pathologic complete response (pCR) after neoadjuvant chemotherapy (NACT) have a favorable prognosis. Breast surgery might be avoided in patients in whom the presence of residual tumor can be ruled out with high confidence. Here, we investigated the diagnostic accuracy of contrast-enhanced MRI (CE-MRI) in predicting pCR and long-term outcome after NACT. Methods Patients with EBC, including patients with locally advanced disease, who had undergone CE-MRI after NACT, were retrospectively analyzed (n = 246). Three radiologists, blinded to clinicopathologic data, reevaluated all MRI scans regarding to the absence (radiologic complete remission; rCR) or presence (no-rCR) of residual contrast enhancement. Clinical and pathologic responses were compared categorically using Cohen’s kappa statistic. The Kaplan-Meier method was used to estimate recurrence-free survival (RFS) and overall survival (OS). Results Overall rCR and pCR (no invasive tumor in the breast and axilla (ypT0/is N0)) rates were 45% (111/246) and 29% (71/246), respectively. Only 48% (53/111; 95% CI 38–57%) of rCR corresponded to a pCR (= positive predictive value - PPV). Conversely, in 87% (117/135; 95% CI 79–92%) of patients, residual tumor observed on MRI was pathologically confirmed (= negative predictive value - NPV). Sensitivity to detect a pCR was 75% (53/71; 95% CI 63–84%), while specificity to detect residual tumor and accuracy were 67% (117/175; 95% CI 59–74%) and 69% (170/246; 95% CI 63–75%), respectively. The PPV was significantly lower in hormone-receptor (HR)-positive compared to HR-negative tumors (17/52 = 33% vs. 36/59 = 61%; P = 0.004). The concordance between rCR and pCR was low (Cohen’s kappa − 0.1), however in multivariate analysis both assessments were significantly associated with RFS (rCR P = 0.037; pCR P = 0.033) and OS (rCR P = 0.033; pCR P = 0.043). Conclusion Preoperative CE-MRI did not accurately predict pCR after NACT for EBC, especially not in HR-positive tumors. However, rCR was strongly associated with favorable RFS and OS. Electronic supplementary material The online version of this article (10.1186/s13058-018-1091-y) contains supplementary material, which is available to authorized users.

Background After the 2002/2003 SARS outbreak, 30% of survivors exhibited persisting structural pulmonary abnormalities. The long-term pulmonary sequelae of coronavirus disease 2019 (COVID-19) are yet unknown, and comprehensive clinical follow-up data are lacking. Methods In this prospective, multicentre, observational study, we systematically evaluated the cardiopulmonary damage in subjects recovering from COVID-19 at 60 and 100 days after confirmed diagnosis. We conducted a detailed questionnaire, clinical examination, laboratory testing, lung function analysis, echocardiography, and thoracic low-dose computed tomography (CT). Results Data from 145 COVID-19 patients were evaluated, and 41% of all subjects exhibited persistent symptoms 100 days after COVID-19 onset, with dyspnea being most frequent (36%). Accordingly, patients still displayed an impaired lung function, with a reduced diffusing capacity in 21% of the cohort being the most prominent finding. Cardiac impairment, including a reduced left ventricular function or signs of pulmonary hypertension, was only present in a minority of subjects. CT scans unveiled persisting lung pathologies in 63% of patients, mainly consisting of bilateral ground-glass opacities and/or reticulation in the lower lung lobes, without radiological signs of pulmonary fibrosis. Sequential follow-up evaluations at 60 and 100 days after COVID-19 onset demonstrated a vast improvement of both, symptoms and CT abnormalities over time. Conclusion A relevant percentage of post-COVID-19 patients presented with persisting symptoms and lung function impairment along with pulmonary abnormalities more than 100 days after the diagnosis of COVID-19. However, our results indicate a significant improvement in symptoms and cardiopulmonary status over time., 100 days after COVID-19 onset, a high portion of patients exhibit persisting symptoms and cardiopulmonary impairment. Still, a marked improvement of symptoms, pulmonary function, and CT pathologies was found at follow-up.

We report on work in progress towards a practical implementation of a software defined overlay network that provides data delivery services at a freely definable and provably optimized quality of service. Our example implementation establishes transparent secure transmission, where security is in terms of confidentiality, authenticity and availability. Using general techniques from game-theory, we show how to simultaneously optimize several performance indicators of a transmission service, taking care of interdependencies and using security as a showcase application.

We present the VROnSite platform that enables immersive training of first responder on-site squad leaders. Our training platform is fully immersive, entirely untethered to ease use and provides two means of navigation — abstract and natural walking — to simulate stress and exhaustion, two important factors for decision making. With the platform's capabilities, we close a gap in prior art for first responder training. Our research is closely interlocked with stakeholders from fire brigades and paramedics to gather early feedback in an iterative design process. In this paper, we present our first research results, which are the system's design rationale, the single user training prototype and results from a preliminary user study.

FOCUS (“Foresight Security Scenarios – Mapping Research to a Comprehensive Approach to Exogenous EU Roles”) aims namely to define the most plausible threat scenarios that affect the “borderline” between the EU’s external and internal dimensions to security. This article presents scenarios about alternative futures of security research to support a comprehensive approach of the “EU 2035” as a civil security provider. Three scenarios were selected as context scenarios for alternative futures of security research afterwards they have been lined up with drivers identified in a matrix procedure. From these three context scenarios six alternative futures for security research were evaluated using the portfolio-cluster-method. The weighting was done from a dual and interdependent perspective: a) nation/ member state vs. EU-level/international approach to civil security and b) position of the scenario on the continuum of internal/external security. Finally, the article introduces each scenario for alternative future of security research in detail.

Background: Soluble CD40 ligand (sCD40L) has been proposed as a new risk marker for cardiovascular diseases; however, its possible role as a diagnostic marker in the emergency department (ED) has not yet been investigated. Methods: We investigated sCD40L for the diagnosis of acute myocardial infarction or ischemic stroke in 1089 consecutive patients (525 males, 564 females; age, 17–98 years; median, 56 years) in an ED treating mainly adults with medical or neurologic emergencies. We used a research assay from Roche Diagnostics to measure sCD40L in heparinized plasma prepared from routinely drawn blood samples. Results: Intraassay and interassay CVs in our laboratory ranged from 1.6%–4.2% and from 4.4%–4.9%, respectively. A multiple linear regression analysis revealed sCD40L concentration to be significantly associated with C-reactive protein concentration (P = 0.012) and platelet count (P < 0.001). In addition, a subgroup analysis revealed a significant association between smoking and sCD40L concentration (P = 0.006). All other tested variables, including discharge diagnosis, age, sex, and other laboratory variables, showed no significant associations. Conclusions: In adults presenting to the ED, sCD40L is not useful as a diagnostic marker for acute cardiac, cerebrovascular ischemic, or thromboembolic events.

Objective: To investigate the usefulness of N-terminal pro-brain natriuretic peptide (NT-proBNP) as a predictive marker for angiographically significant coronary artery disease (CAD) and CAD severity compared with other newer biochemical risk markers and classic risk factors in patients with clinically suspected CAD. Design: Cross-sectional evaluation of NT-proBNP in a large consecutive series of patients without a history of myocardial infarction referred for elective coronary angiography (CAG) between March 2004 and January 2005. The value of NT-proBNP for predicting CAD was assessed and compared with high sensitivity C-reactive protein (hs-CRP), γ-glutamyltransferase (GGT) and traditional risk factors. Setting: Tertiary care centre, Department of Cardiology, Innsbruck Medical University, Austria. Patients: 561 men and 287 women aged between 20–86 years (median 65 years). Interventions: None. Main outcome measures: Association of NT-proBNP with the severity of CAD, left ventricular dysfunction and comparison of predictive values of NT-proBNP, hs-CRP, GGT and traditional CAD risk factors. Results: Of all tested newer biochemical risk markers NT-proBNP performed best. In a multinomial logistic regression model NT-proBNP but not hs-CRP or GGT was significantly associated with three-vessel CAD adjusted for age, sex, ventricular, renal function and classic risk factors (odds ratio = 1.667; 95% CI 1.003 to 2.772; p = 0.049). However, NT-proBNP had no additive predictive value to traditional cardiovascular risk factors for the prediction of angiographically significant CAD in a binary logistic regression model. Conclusions: The predictive value of NT-proBNP for CAD severity is better than that of hs-CRP or GGT. However, NT-proBNP is also of limited value compared with traditional risk factors for predicting significant CAD.

Traditional media have a long history in covering natural disasters and crises. In many instances, these media remain major providers of information about an event. In recent years, however, information about natural disasters has increasingly been disseminated on a significant scale via Social Media platforms. These media provide new, additional and complementary angles on events and, combined with traditional media, produce a more complete spectrum of coverage. We present an approach, combining information from across the different kinds of media—traditional as well as social—and also across multiple languages, providing opportunities for first responders and decision makers to gain improved situational awareness and allowing for improved disaster relief, support, mitigation and resilience measures. The approach is put into context by relating it to a long-term strategic model including horizon-scanning and risk-management activities and a 5-phase disaster model forming the basis for information gathering and dissemination activities. To illustrate the research efforts the QuOIMA (Quelloffene Integrierte Multimedia Analyse) project, based on the pillars of cross-media, multimedia, and multilingual processing and representing major aspects of the general framework is presented. QuOIMA focuses on the information gathering aspects from the point of view of a first responder and crisis manager or -communicator rather than the management of active (outgoing) communication. Initial findings on data collected during the 2013 Central European floods are reported and discussed.

We report on work in progress towards a practical implementation of a software defined overlay network that provides data delivery services at a freely definable and provably optimized quality of service. Our example implementation establishes transparent secure transmission, where security is in terms of confidentiality, authenticity and availability. Using general techniques from game-theory, we show how to simultaneously optimize several performance indicators of a transmission service, taking care of interdependencies and using security as a showcase application.

In this paper we describe work in progress on a cross-media content analysis approach and framework, which is currently being developed within the QuOIMA project. We describe the role of media, and how possible links between social and traditional media and terminology and communication patterns are envisioned to be connected to the different phases of a disaster model. The paper continues with a discussion of potential benefits for decision makers and planners and concludes with an outlook on further planned activities and developments.

In this paper we describe the role of media in the context of natural disasters. Traditional media have a long history in covering disasters and will continue to be a major provider of information in the future. In recent years, however there has been a significant change: information about natural disasters has increasingly been disseminated on a large scale on social media platforms. These media are typically faster but may be less reliable. They provide additional and complementary angles on events and, combined with traditional media, provide a wider spectrum of coverage. We argue that cross-media information combined with multi-lingual data provides huge opportunities for first-responders and decision makers to gain improved situational awareness allowing for improved disaster relief, support, mitigation and resilience measures.